Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Daras, Tryfon
1997.
Large and moderate deviations for the empirical measures of an exchangeable sequence.
Statistics & Probability Letters,
Vol. 36,
Issue. 1,
p.
91.
de Acosta, A.
1997.
Festschrift for Lucien Le Cam.
p.
143.
Eichelsbacher, Peter
1998.
Moderate and large deviations for U-processes.
Stochastic Processes and their Applications,
Vol. 74,
Issue. 2,
p.
273.
Eichelsbacher, Peter
and
Schmock, Uwe
1998.
Exponential approximations in completely regular topological spaces and extensions of Sanov’s theorem.
Stochastic Processes and their Applications,
Vol. 77,
Issue. 2,
p.
233.
Eichelsbacher, Peter
and
Grunwald, Malte
1999.
Exponential tightness can fail in the strong topology.
Statistics & Probability Letters,
Vol. 41,
Issue. 1,
p.
83.
Serfling, Robert
and
Wang, Wenyang
2000.
A large deviation theorem for U-processes.
Statistics & Probability Letters,
Vol. 49,
Issue. 2,
p.
181.
EICHELSBACHER, PETER
and
GANESH, AYALVADI
2002.
Moderate Deviations for Bayes Posteriors.
Scandinavian Journal of Statistics,
Vol. 29,
Issue. 1,
p.
153.
Dawson, Donald A.
and
Del Moral, Pierre
2005.
Statistical Modeling and Analysis for Complex Data Problems.
p.
179.
Ermakov, M. S.
2015.
Large Deviation Principle for Moderate Deviation Probabilities of Bootstrap Empirical Measures.
Journal of Mathematical Sciences,
Vol. 204,
Issue. 1,
p.
90.
Bakhtin, Victor
and
Sokal, Edvard
2016.
The Kullback–Leibler Information Function for Infinite Measures.
Entropy,
Vol. 18,
Issue. 12,
p.
448.
Saldi, Naci
2021.
Large deviations principle for discrete-time mean-field games.
Systems & Control Letters,
Vol. 157,
Issue. ,
p.
105042.
Dupuis, Paul
and
Wu, Guo-Jhen
2022.
Analysis and Optimization of Certain Parallel Monte Carlo Methods in the Low Temperature Limit.
Multiscale Modeling & Simulation,
Vol. 20,
Issue. 1,
p.
220.